Objective To explore the difference of intervention effect between high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on patients with metabolic syndrome (MetS). Methods China National Knowledge Infrastructure, WanFang Data, PubMed, Web of Science and EBSCO were searched for randomized controlled trials (RCTs) till May 2022. Two reviewers independently reviewed the literature, extracted data, and assessed the risk of bias of included RCTs. Comprehensive Meta-Analysis software was used for meta-analysis. Result A total of 5 RCTs were included, including 216 patients. The results of meta-analysis showed that: except fasting blood glucose, high-density lipoprotein cholesterol, systolic blood pressure, waist circumference, body mass index and body fat percentage (P>0.005), low-density lipoprotein cholesterol [mean difference (MD)=−7.487 mg/dL, 95% confidence interval (CI) (−12.543, −2.431) mg/dL, P=0.004], total cholesterol [MD=−11.487 mg/dL, 95%CI (−16.523, −6.452) mg/dL, P<0.001], triglycerides [MD=−26.296 mg/dL, 95%CI (−50.557, −2.035) mg/dL, P=0.034] and diastolic blood pressure [MD=−2.770 mm Hg (1 mm Hg=0.133 kPa), 95%CI (−5.131, −0.409) mm Hg, P=0.021] of HIIT were better than MICT. Conclusion In terms of blood glucose indicators and morphological indicators, the effect of HIIT group and MICT group was similar, but the effect of HIIT on blood lipid indicators and blood pressure indicators of patients with MetS was better than MICT.
Exercise intervention is an important non-pharmacological intervention for various diseases, and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevention and control. Based on data collection from wearable devices, this study conducts nonlinear optimization and empirical verification of the original "Fitness-Fatigue Model". By constructing a time-varying attenuation function and specific coefficients, this study develops an optimized mathematical model that reflects the nonlinear characteristics of training responses. Thirteen participants underwent 12 weeks of moderate-intensity continuous cycling, three times per week. For each training session, external load (actual work done) and internal load (heart rate variability index) data were collected for each individual to conduct a performance comparison between the optimized model and the original model. The results show that the optimized model demonstrates a significantly improved overall goodness of fit and superior predictive ability. In summary, the findings of this study can support dynamic adjustments to participants' training programs and aid in the prevention and control of chronic diseases.